[HTML][HTML] Automatic summarization of scientific articles: A survey
The scientific research process generally starts with the examination of the state of the art,
which may involve a vast number of publications. Automatically summarizing scientific …
which may involve a vast number of publications. Automatically summarizing scientific …
[HTML][HTML] Machine learning-based method to cluster a converging technology system: The case of printed electronics
Technology convergence is considered one of the cornerstones of technological innovation
as a phenomenon emerging at the intersection of two previously unrelated fields of …
as a phenomenon emerging at the intersection of two previously unrelated fields of …
Intelligent compilation of patent summaries using machine learning and natural language processing techniques
Patents are a type of intellectual property with ownership and monopolistic rights that are
publicly accessible published documents, often with illustrations, registered by governments …
publicly accessible published documents, often with illustrations, registered by governments …
A patent quality analysis and classification system using self-organizing maps with support vector machine
A plethora of patents are approved by the patent officers each year and current patent
systems face a solemn quandary of evaluating these patents' qualities. Traditional …
systems face a solemn quandary of evaluating these patents' qualities. Traditional …
Data-centric and logic-based models for automated legal problem solving
LK Branting - Artificial Intelligence and Law, 2017 - Springer
Logic-based approaches to legal problem solving model the rule-governed nature of legal
argumentation, justification, and other legal discourse but suffer from two key obstacles: the …
argumentation, justification, and other legal discourse but suffer from two key obstacles: the …
TechWord: Development of a technology lexical database for structuring textual technology information based on natural language processing
The role of text mining based on technological documents such as patents is important in the
research field of technology intelligence for technology R&D planning. In addition, WordNet …
research field of technology intelligence for technology R&D planning. In addition, WordNet …
Multi-document summarization for patent documents based on generative adversarial network
Given the exponential growth of patent documents, automatic patent summarization
methods to facilitate the patent analysis process are in strong demand. Recently, the …
methods to facilitate the patent analysis process are in strong demand. Recently, the …
Technology innovation for sustainability in the building construction industry: An analysis of patents from the Yangtze River Delta, China
Advances in technology provides the potential to innovate sustainability in the building
construction industry. Drawing on the literature and expert reviews, this research discloses …
construction industry. Drawing on the literature and expert reviews, this research discloses …
Summarization, simplification, and generation: The case of patents
Abstract We survey Natural Language Processing (NLP) approaches to summarizing,
simplifying, and generating patents' text. While solving these tasks has important practical …
simplifying, and generating patents' text. While solving these tasks has important practical …
Text segmentation for patent claim simplification via bidirectional long‐short term memory and conditional random field
B Geng - Computational Intelligence, 2022 - Wiley Online Library
Text simplification is a vital work for comprehending patent claims due to its complex
syntactic structures and lengthy sentences. Therefore, almost all patent analysis …
syntactic structures and lengthy sentences. Therefore, almost all patent analysis …